Version 2.2.1-1 of python-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily
manipulate that data from NumPy. For example, you can slice into
multi-terabyte datasets stored on disk, as if they were real NumPy
arrays. Thousands of datasets can be stored in a single file,
categorized and tagged however you want.
H5py uses straightforward NumPy and Python metaphors, like dictionary
and NumPy array syntax. For example, you can iterate over datasets in
a file, or check out the .shape or .dtype attributes of datasets. You
don't need to know anything special about HDF5 to get started.
In addition to the easy-to-use high level interface, h5py rests on a
object-oriented Cython wrapping of the HDF5 C API. Almost anything you
can do from C in HDF5, you can do from h5py.
Best of all, the files you create are in a widely-used standard binary
format, which you can exchange with other people, including those who
use programs like IDL and MATLAB.
This version was built without support for the parallel I/O features
introduced in version 2.2.0. For more information please visit
http://www.h5py.org.
*** CYGWIN-ANNOUNCE UNSUBSCRIBE INFO ***
If you want to unsubscribe from the cygwin-announce mailing list, look
at the List-Unsubscribe: tag in the email header of this message.
Send email to the address specified there. It will be in the format:
cygwin-announce-unsubscribe-you=yourdomain.com at cygwin.com
If you need more information on unsubscribing, start reading here:
http://sourceware.org/lists.html#unsubscribe-simple
Please read *all* of the information on unsubscribing that is
available starting at this URL.
